Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and grow a high-impact MLOps team while designing robust ML infrastructure.
- Company: Top-tier tech firm building next-gen ML platforms.
- Benefits: Lucrative salary package and hands-on leadership opportunities.
- Why this job: Shape the future of MLOps in a dynamic, greenfield environment.
- Qualifications: Experience in large-scale MLOps and leadership skills required.
- Other info: Collaborate with ML researchers and engineers in a vibrant London setting.
The predicted salary is between 72000 - 108000 ÂŁ per year.
You must have managed before or be someone with a vast amount of experience and leadership experience that wants to manage. You also need to have developed and deployed ML Ops pipelines in larger scale companies, for example, having hundreds of users of the MLOps infrastructure. If you have not got experience in either of the above criteria, you will not be considered for the role.
Location: London - 4/5 days a week on site
Compensation: Very lucrative package on offer.
We’re working with a top-tier technology-led firm building a next-generation ML platform used across the business. They’re now hiring an ML Ops Manager to lead and shape a newly forming MLOps function. This is a hands-on leadership role. You’ll initially be close to the architecture and implementation before scaling the team (3–4 engineers to start), setting standards, and owning the long-term MLOps strategy. The MLOps journey is still relatively greenfield. A key part of the role will be evaluating what exists today, discarding what doesn’t scale, and redesigning a robust MLOps platform capable of supporting hundreds of internal users.
What you’ll be doing:
- Leading and growing a small, high-impact MLOps team
- Designing and rebuilding production-grade MLOps infrastructure from the ground up
- Owning end-to-end ML lifecycle tooling: training, deployment, monitoring, reproducibility
- Partnering closely with ML researchers, engineers, and platform teams
- Setting technical direction while remaining hands-on early on
What they’re looking for:
- Experience building and deploying large-scale MLOps platforms used by hundreds of users
- Background in major startups or hyperscalers
- Either prior people management experience or a senior IC ready to step into management
- Strong engineering mindset - this is not a “process-only” role
MLOps Manager employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who have experience in MLOps. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous MLOps projects. This will not only demonstrate your hands-on experience but also your ability to lead and innovate in building scalable platforms.
✨Tip Number 3
Ace the interview! Research the company’s current MLOps setup and come prepared with ideas on how you would improve it. This shows initiative and that you’re already thinking about how to contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes put you ahead of the competition. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace MLOps Manager
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your previous management roles and any experience you've had with large-scale MLOps pipelines. We want to see how you've led teams and tackled challenges in similar environments.
Be Specific About Your Skills: When detailing your technical skills, be specific about the tools and technologies you've used. Mention any frameworks or platforms that are relevant to MLOps, as this will help us understand your hands-on experience.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the latest updates from us during the process.
How to prepare for a job interview at Arcus Search
✨Showcase Your Leadership Experience
Make sure to highlight any previous management roles or leadership experiences you've had. Discuss specific examples where you led a team or project, especially in MLOps or related fields. This will demonstrate your capability to manage and grow a team effectively.
✨Demonstrate Technical Expertise
Be prepared to discuss the MLOps pipelines you've developed and deployed. Share details about the scale of these projects, particularly how they supported hundreds of users. This will show that you have the hands-on experience needed for this role.
✨Understand the Company’s Vision
Research the company and its current MLOps infrastructure. Be ready to discuss what you think works well and what could be improved. This shows that you're not just looking for a job, but are genuinely interested in contributing to their mission.
✨Prepare for Technical Questions
Expect technical questions related to MLOps, machine learning lifecycle, and engineering practices. Brush up on relevant concepts and be ready to explain your thought process when designing robust MLOps platforms. This will help you stand out as a strong candidate.
